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| Section | Objectives |
|---|---|
| Topic 1: Security and Access Control | - Role-based access control (RBAC) - Authentication and user management |
| Topic 2: Data Loading and Unloading | - External and internal stages - Bulk data loading using stages and COPY INTO |
| Topic 3: Performance and Optimization | - Warehouse sizing and scaling - Query optimization basics |
| Topic 4: Snowflake Architecture and Platform Concepts | - Virtual warehouses and compute model - Snowflake architecture fundamentals - Storage and data organization |
| Topic 5: Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
| Topic 6: Data Transformation and Processing | - SQL operations in Snowflake - Streams and tasks for data pipelines |
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NEW QUESTION # 870
Which statement will execute a stored procedure?
Answer: D
Explanation:
You execute a stored procedure using the CALL command. Nested procedure calls are allowed where the result of one procedure is passed as an argument to another.
Correct syntax:
CALL proc1(proc2(1));
Reference:
Snowflake Docs: CALL Statement
NEW QUESTION # 871
Which constraint is enforced for standard Snowflake tables?
Answer: D
Explanation:
The correct answer is A. NOT NULL .
For standard Snowflake tables, Snowflake enforces the NOT NULL constraint. Other constraints such as PRIMARY KEY, FOREIGN KEY, and UNIQUE can be defined, but they are generally informational and are not enforced for standard tables.
Why A is correct:
A NOT NULL constraint prevents NULL values from being inserted into the constrained column.
Example:
CREATE TABLE customers (
customer_id NUMBER NOT NULL,
customer_name STRING
);
Why the other options are incorrect:
B). PRIMARY KEY constraints are not enforced for standard Snowflake tables.
C). FOREIGN KEY constraints are not enforced for standard Snowflake tables.
D). UNIQUE constraints are not enforced for standard Snowflake tables.
Official Snowflake documentation reference:
Snowflake documentation explains that for standard tables, NOT NULL constraints are enforced, while unique, primary key, and foreign key constraints are not enforced.
Reference: Snowflake Documentation - Constraints; Snowflake Documentation - Table constraints; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 872
What is the data lineage feature used for in Snowflake?
Answer: D
Explanation:
The correct answer is C. To track how data has been transformed among columns .
Snowflake's data lineage capability is used to understand how data flows and changes across objects. It helps users see relationships between source and target objects and understand how data is transformed, especially at the column level.
Corrected wording:
The original option said "records," but Snowflake data lineage is more accurately described as tracking how data is transformed among columns, not individual row-level record transformations.
Why C is correct:
Data lineage helps track how data moves from source columns to target columns through operations such as views, CTAS statements, INSERT statements, and other transformations. This is useful for governance, impact analysis, auditing, and understanding downstream dependencies.
Why the other options are incorrect:
A). Tracking how records are read by a user is more closely related to access history or query history, not data lineage.
B). Tracking dependencies at the object level is related to object dependencies. Data lineage is more specific because it can show how data flows between columns and objects.
D). Snowflake data lineage is not primarily a row-level feature for tracking the impact of transformations on individual records.
Official Snowflake documentation reference:
Snowflake documentation describes data lineage as a governance capability that helps track how data moves and transforms across Snowflake objects, including column-level relationships.
Reference: Snowflake Documentation - Data lineage; Snowflake Documentation - Object dependencies; SnowPro Core Study Guide - Data Protection and Governance.
==
NEW QUESTION # 873
Which command can be used to load data into an internal stage?
Answer: C
Explanation:
The PUT command is used to load data into an internal stage in Snowflake. This command uploads data files from a local file system to a named internal stage, making the data available for subsequent loading into a Snowflake table using the COPY INTO command.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Loading
NEW QUESTION # 874
A Snowflake account holds data that will be consumed by a BI tool. Most of the BI users are located in the United States, but some users will require access from abroad with different levels of concurrency.
What virtual warehouse would be MOST cost-efficient?
Answer: C
NEW QUESTION # 875
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